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In this paper,a computationally effcient method is proposed for automated design of the preflters for multivariable systems.In quantitative feedback theory(QFT)method,proposed by Horowitz,the preflter is designed to achieve the desired tracking specifcations.In the proposed approach,we pose the preflter design problem as an interval constraint satisfaction problem and solve it using the well-established interval constraint satisfaction techniques.The proposed method fnds optimal values of the parameters of fxed structure preflter within the initial search domain.An approach based on preflter synthesis for single-input single-output is already developed.The purpose of this paper is to extend this approach to QFT preflter design for general multivariable systems.To validate the above design approach,we applied the method to a laboratory setup of magnetic levitation system.
In this paper, a computationally effcient method is proposed for automated design of the preflters for multivariable systems. In quantitative feedback theory (QFT) method, proposed by Horowitz, the preflter is designed to achieve the desired tracking specifcations. The proposed approach, we pose the preflter design problem as an interval constraint satisfaction problem and solve it using the well-established interval constraint specification techniques.The proposed method fnds optimal values of the parameters of the fxed structure preflter within the initial search domain. An approach based on preflter synthesis for single-input single-output is already developed. The purpose of this paper is to extend this approach to QFT preflter design for general multivariable systems. To validate the above design approach, we applied the method to a laboratory setup of magnetic levitation system.